OBJECTIVES: The purpose of this study was to compare predictions and measurements of the resting energy expenditure (REE) of overweight and obese adult women in Korea. METHODS: The subjects included 65 overweight or obese adult women ranging in age from 20~60 with a recorded body mass index (BMI) of 23 or higher. Their height, weight, waist-hip ratio, and blood pressure were measured. The investigator also measured their body fat, body fat percentage, and body composition of total weight without fat using Dual energy X-ray absorptiometry (DXA) and measured resting energy expenditure by indirect calorimetry. Measured resting energy expenditures were compared with predictions from six methods: Harris-Benedict, Mifflin, Owen, WHO-WH, Henry-WH, and KDRI. RESULTS: Harris-Benedict predictions showed the smallest differences from measured resting energy expenditure at an accurate prediction rate of 70%. The study analyzed regression between measured resting energy expenditure and body measurements including height, weight and age. The formula proposed by this research is as follows: Proposed REE equation for overweight and obese Korean women = 721 − (1.5 × age) + (0.4 × height) + (9.9 × weight). CONCLUSIONS: These findings suggest that age is a significant variable when predicting resting energy expenditure in overweight and obese women. Therefore, prediction of resting energy expenditure should consider age when determining energy requirements in overweight and obese women.
Absorptiometry, Photon ; Adipose Tissue ; Adult ; Blood Pressure ; Body Composition ; Body Mass Index ; Calorimetry, Indirect ; Energy Metabolism ; Female ; Humans ; Korea ; Overweight ; Research Personnel ; Waist-Hip Ratio

OBJECTIVES: The purpose of this study was to compare predictions and measurements of the resting energy expenditure (REE) of overweight and obese adult women in Korea. METHODS: The subjects included 65 overweight or obese adult women ranging in age from 20~60 with a recorded body mass index (BMI) of 23 or higher. Their height, weight, waist-hip ratio, and blood pressure were measured. The investigator also measured their body fat, body fat percentage, and body composition of total weight without fat using Dual energy X-ray absorptiometry (DXA) and measured resting energy expenditure by indirect calorimetry. Measured resting energy expenditures were compared with predictions from six methods: Harris-Benedict, Mifflin, Owen, WHO-WH, Henry-WH, and KDRI. RESULTS: Harris-Benedict predictions showed the smallest differences from measured resting energy expenditure at an accurate prediction rate of 70%. The study analyzed regression between measured resting energy expenditure and body measurements including height, weight and age. The formula proposed by this research is as follows: Proposed REE equation for overweight and obese Korean women = 721 − (1.5 × age) + (0.4 × height) + (9.9 × weight). CONCLUSIONS: These findings suggest that age is a significant variable when predicting resting energy expenditure in overweight and obese women. Therefore, prediction of resting energy expenditure should consider age when determining energy requirements in overweight and obese women.
Absorptiometry, Photon ; Adipose Tissue ; Adult ; Blood Pressure ; Body Composition ; Body Mass Index ; Calorimetry, Indirect ; Energy Metabolism ; Female ; Humans ; Korea ; Overweight ; Research Personnel ; Waist-Hip Ratio

BACKGROUND/OBJECTIVES: Estimation of energy demand using resting energy expenditure (REE) is a reasonable approach for optimizing glycemic control and weight management in patients with type 2 diabetes mellitus (T2DM). This study aimed to compare REE predictions and objective measurements in patients with T2DM in Korea. SUBJECTS/METHODS: This study enrolled 36 participants with T2DM (age range, 20–60 years).Anthropometric variables including height, weight, waist-hip ratio, blood pressure, body fat, body fat percentage, and total body weight were measured using bioimpedance. REE was evaluated using indirect calorimetry. The measured REE values were compared to values estimated using five predictive equations: the Harris-Benedict, Mifflin, Owen, Food and Agriculture Organization of the United Nations/World Health Organization (FAO/WHO), and Schofield equations. This study evaluated the associations between measured REE values and anthropometric/clinical data, including height, weight, and age, using multivariate linear regression. RESULTS: The mean measured REE value was 1891.79 ± 288.03 kcal/day (male), 1,502.00 ± 202.96 kcal/day (female). REE estimates generated from the Mifflin equation showed the largest differences from measured REE values, whereas estimates derived from the FAO/ WHO equation were the closest to the measured REE values. This study also identified associations between measured REE values and various anthropometric/clinical variables. CONCLUSION The accuracy of REE prediction equations is critically important in promoting the efficacy of dietary counseling and the effective treatment of diabetes. Our results indicate the need for additional studies informing more suitable methods for determining the energy requirements of Korean patients with T2DM.

Purpose: This study examined the relationships among serum ferritin, vitamin D, folate, iron, and vitamin B12 as indicators of obesity. The results provide the basic data for the prevention and treatment of obese and severely obese people. Methods: This study selected 44 people from 18 years of age or older to 59 years. This study used the indicators of the body mass index (BMI) to analyze obesity as the obesity group (BMI of 25.0–29.9 kg/m2 ) and as the severe obesity group (BMI ≥ 30.0 kg/m2 ). Of the 44 subjects, 23 and 21 subjects were in the obesity and severe obesity groups, respectively. Their height, weight, body fat, skeletal muscle mass measured using bioimpedance analysis, and measured serum nutrients and biochemical parameters. Results: The obesity group showed a significantly lower age, body weight, BMI and body composition, body fat mass, and body fat percentage, and the height was significantly lower in the severe obesity group. The results of the biochemical parameters of the subjects showed that the levels of aspartate transaminase, alanine transaminase, hemoglobin A1c, total cholesterol, and triglyceride were within the normal range, and there was no significant difference between the 2 groups. The levels of folate, vitamin B12 , 25-hydroxyvitamin D3 , iron, and ferritin were almost normal, and there was no significant difference between the 2 groups. Conclusion This study revealed an association with the serum nutrients and obesity, but there was no difference between the obesity group and severe obesity group. Observations of the nutrient levels in not only the blood in obesity and severe obesity but also in red blood cells and tissues will be necessary.

Purpose: Sodium is essentially required for homeostasis and physiological functions, but excessive sodium consumption increases the risk of obesity and other chronic disorders.Korean studies on the sodium-obesity relationship are limited, and thus, this study was undertaken to determine the nature of the relationship between sodium intake and obesity in Korean adults. Methods: Forty-two participants were divided into 2 groups according to body mass index (BMI, non-obese BMI < 25 kg/m2 , obese BMI ≥ 25 kg/m2 ). Dietary intakes and eating habits were analyzed using 3-day food records and a food frequency questionnaire. Anthropometric data were obtained from bioimpedance results, and fasting glucose and lipid levels were measured. Results: Mean weight, BMI, waist and hip circumferences, and body fat mass were greater in the obese group than in the non-obese group for men and women. Skeletal muscle mass and body fat mass were higher in obese women than in non-obese women. Biochemical data were no different in these two subgroups except triglycerides (TGs), which were higher in obese women. Nutrient intakes were not significantly different in obese and non-obese groups.However, obese men consumed excessive sodium, while obese women consumed slightly more than non-obese women. Obese men preferred salty foods and tended to overeat.Positive correlations were found between sodium intake and weight in men and percent body fat mass (PBFM) in women. Correlation analysis (adjusted for energy intake) of the relation between sodium intake and obesity-related factors showed sodium intake was positively correlated with PBFM and TG in women. Conclusion This anthropometric and biochemical data analysis emphasizes the need for awareness and interventions to mitigate the health risks of elevated sodium consumption.Our findings should aid future studies on the relationship between sodium and obesity and contribute to preventing and managing this metabolic condition.

Objectives: Metabolic disease is strongly associated with future insulin resistance, and its prevalence is increasing worldwide. Thus, identifying early biomarkers of metabolic-related disease based on serum profiling is useful to control future metabolic disease. Our study aimed to assess the association of serum branched chain amino acids (BCAAs) and aromatic amino acids (AAAs) ratio and metabolic disease according to body mass index (BMI) status among Korean adults. Methods: This cross-sectional study included 78 adults aged 20–59 years in Korea. We compared serum amino acid (AA) levels between adults with normal-weight and adults with obesity and investigated biomarkers of metabolic disease. We examined serum AA levels, blood profile, and body composition. We also evaluated the association between serum AAs and metabolic-related disease. Results: The height, weight, BMI, waist circumference, hip circumference, waist-hip-ratio, body fat mass, body fat percent, skeletal muscle mass, systolic blood pressure, and diastolic blood pressure were higher in the group with obesity compared to normal weight group. The group with obesity showed significantly higher levels of BCAA, AAA, and BCAA and AAA ratio. Further, BCAA and AAA ratio were significantly positively correlated with triglyceride, body weight, and skeletal muscle mass. The evaluation of metabolic disease risks revealed an association between the ratios of BCAAs and AAAs, hypertension, and metabolic syndrome. Conclusions Our study is showed the associations between BCAA and AAA ratio, obesity, and obesity-related diseases using various analytical approaches. The elevated BCAA and AAA ratio could be early biomarkers for predicting future metabolic diseases in Korean population.

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We made a mistake in presenting author name.

Intestinal lymphangiectasia, one of the protein-losing gastroenteropathies, is an uncommon disease characterized by dilated intestinal lymphatics, enteric protein loss, edema, hypoalbuminemia, and lympocytopenia. Small bowel biopsy and CT have been used to confirm the diagnosis of intestinal lymphangiectasia. Small bowel biopsy shows collections of abnormal dilated lacteals in submucosa with distortion of villi and CT findings have been described as diffuse nodular thickening of the small bowel and as linear hypodense streaking densities in the small bowel caused by dilated lymphatic channels. Demonstration of increased enteric protein loss using 51Cr-, 131I- or 99mTc-labeled albumin, timed measurement of fecal excretion of radioactivity or by measuring fecal clearance of alpha 1-antitrypsin can also help the diagnosis. We experienced a rare case of intestinal lymphangiectasia in an eight year old boy who presented with facial edema, abdominal distension and intermittent diarrhea. We report a patient with intestinal lymphangiectasia, in whom abdominal CT, 99mTc-labeled albumin scintitigraphy, and stool alpha 1-antitrypsin measurement played key roles in determining the diagnosis. A brief review of literature was made.
alpha 1-Antitrypsin ; Biopsy ; Diagnosis ; Diarrhea ; Edema ; Humans ; Hypoalbuminemia ; Male ; Radioactivity ; Tomography, X-Ray Computed

A survey was conducted to determine the perception of youku meat among college students majoring in food and/or nutrition. The survey participants were located nationwide, and the responses from the 2,454 students were analyzed. More male and higher grade students answered that they had heard about youku while only 20.0% had learned about Youku from class. Approximately 37.8% of the subjects recognized youku as 'dairy cattle which are too old to produce milk', 54.0% as 'all cattle grown for the purpose of meat', and 23.1% as 'all cattle except for Hanwoo'. Only 37.4% recognized youku correctly. Compared with the same quality grade, 25.3% recognized youku meat as being cheaper than imported beef, and only 25.6% of them recognized that youku meat has less fat than imported beef. As much as 83.3% of subjects did not know whether or not they were served youku meat, and 23.7% of subjects wanted increased availability of youku meat. As much as 22.9% of subjects opposed the increased use of youku meat, and the reasons were "it does not taste good" (18.1%), "it is not Hanwoo" (15.1%), "it is not sanitary" (13.1%), and "it is imported" (6.0%). The findings provide basic information on barriers regarding youku meat promotion among subjects who will be dieticians in food service or managers in purchase departments of catering companies in the future.
Animals ; Cattle ; Food Services ; Humans ; Male ; Meat* ; Nutritionists